Colle AI (COLLE), the multichain AI-powered NFT creation platform, today announced an expansion of its AI-driven design automation capabilities, aiming to simplify how creators build, scale, and deploy digital assets across blockchain ecosystems. The update reduces manual intervention throughout the NFT lifecycle, allowing artists, studios, and brands to move from concept to multichain-ready assets faster and more consistently.
AI-Driven Design Automation
The expanded automation framework interprets creative intent and converts it into fully structured NFT outputs. Key tasks such as layout assembly, visual alignment, metadata preparation, and chain-specific formatting are automated, minimizing repetitive work while preserving artistic control. This enables creators to rapidly generate and iterate on both individual assets and large NFT collections without managing complex workflows.
Seamless Multichain Deployment
Integrated into Colle AI’s multichain pipelines, the platform now ensures compatibility with major blockchain networks including Ethereum, Solana, Bitcoin, BNB Chain, and the XRP Ledger. As assets are generated or refined, the system dynamically adapts designs to meet each network’s technical standards, maintaining visual fidelity and deployment readiness across chains.
“Automation should amplify creativity, not replace it,” said J. King Kasr, Chief Scientist at KaJ Labs. “By expanding AI-driven design automation, Colle AI enables creators to focus on vision and storytelling while the platform handles scale, structure, and multichain execution.”
Supporting the Next Generation of Web3 Creation
This update reinforces Colle AI’s mission to provide fast, adaptive, and accessible creative tools for the evolving Web3 ecosystem. As demand grows for scalable NFT production and cross-chain workflows, Colle AI continues to enhance its intelligent systems, enabling creators to produce next-generation digital assets without friction or technical bottlenecks.
Power Tomorrow’s Intelligence — Build It with TechEdgeAI











